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<p>Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method.  
 <a href="../../d6/d39/classcv_1_1cuda_1_1OpticalFlowDual__TVL1.html#details">More...</a></p>

<p><code>#include &lt;opencv2/cudaoptflow.hpp&gt;</code></p>
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Inheritance diagram for cv::cuda::OpticalFlowDual_TVL1:</div>
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<tr class="inherit_header pub_methods_classcv_1_1cuda_1_1DenseOpticalFlow"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classcv_1_1cuda_1_1DenseOpticalFlow')"><img src="../../closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="../../d6/d4a/classcv_1_1cuda_1_1DenseOpticalFlow.html">cv::cuda::DenseOpticalFlow</a></td></tr>
<tr class="memitem:a2cf6b216dccee0060c2ff0e4ba090f1c inherit pub_methods_classcv_1_1cuda_1_1DenseOpticalFlow"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d4a/classcv_1_1cuda_1_1DenseOpticalFlow.html#a2cf6b216dccee0060c2ff0e4ba090f1c">calc</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> I0, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> I1, <a class="el" href="../../dc/d84/group__core__basic.html#gaf77c9a14ef956c50c1efd4547f444e63">InputOutputArray</a> flow, <a class="el" href="../../d9/df3/classcv_1_1cuda_1_1Stream.html">Stream</a> &amp;stream=<a class="el" href="../../d9/df3/classcv_1_1cuda_1_1Stream.html#a680af5adfeeb1cdaa5b7b13f680c0131">Stream::Null</a>())=0</td></tr>
<tr class="memdesc:a2cf6b216dccee0060c2ff0e4ba090f1c inherit pub_methods_classcv_1_1cuda_1_1DenseOpticalFlow"><td class="mdescLeft">&#160;</td><td class="mdescRight">Calculates a dense optical flow.  <a href="../../d6/d4a/classcv_1_1cuda_1_1DenseOpticalFlow.html#a2cf6b216dccee0060c2ff0e4ba090f1c">More...</a><br /></td></tr>
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<tr class="inherit_header pub_methods_classcv_1_1Algorithm"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classcv_1_1Algorithm')"><img src="../../closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="../../d3/d46/classcv_1_1Algorithm.html">cv::Algorithm</a></td></tr>
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<tr class="memitem:aec9c965448e4dc851d7cacd3abd84cd1 inherit pub_methods_classcv_1_1Algorithm"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#aec9c965448e4dc851d7cacd3abd84cd1">clear</a> ()</td></tr>
<tr class="memdesc:aec9c965448e4dc851d7cacd3abd84cd1 inherit pub_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">Clears the algorithm state.  <a href="../../d3/d46/classcv_1_1Algorithm.html#aec9c965448e4dc851d7cacd3abd84cd1">More...</a><br /></td></tr>
<tr class="separator:aec9c965448e4dc851d7cacd3abd84cd1 inherit pub_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="memdesc:ab6a18f1825475643e94381697d413972 inherit pub_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns true if the <a class="el" href="../../d3/d46/classcv_1_1Algorithm.html" title="This is a base class for all more or less complex algorithms in OpenCV. ">Algorithm</a> is empty (e.g. in the very beginning or after unsuccessful read.  <a href="../../d3/d46/classcv_1_1Algorithm.html#ab6a18f1825475643e94381697d413972">More...</a><br /></td></tr>
<tr class="separator:ab6a18f1825475643e94381697d413972 inherit pub_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a286fc82744ccab3d248aca44524266a9 inherit pub_methods_classcv_1_1Algorithm"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#a286fc82744ccab3d248aca44524266a9">getDefaultName</a> () const</td></tr>
<tr class="separator:a286fc82744ccab3d248aca44524266a9 inherit pub_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aef2ad3f4145bd6e8c3664eb1c4b5e1e6 inherit pub_methods_classcv_1_1Algorithm"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#aef2ad3f4145bd6e8c3664eb1c4b5e1e6">read</a> (const <a class="el" href="../../de/dd9/classcv_1_1FileNode.html">FileNode</a> &amp;fn)</td></tr>
<tr class="memdesc:aef2ad3f4145bd6e8c3664eb1c4b5e1e6 inherit pub_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads algorithm parameters from a file storage.  <a href="../../d3/d46/classcv_1_1Algorithm.html#aef2ad3f4145bd6e8c3664eb1c4b5e1e6">More...</a><br /></td></tr>
<tr class="separator:aef2ad3f4145bd6e8c3664eb1c4b5e1e6 inherit pub_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0a880744bc4e3f45711444571df47d67 inherit pub_methods_classcv_1_1Algorithm"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#a0a880744bc4e3f45711444571df47d67">save</a> (const <a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a> &amp;filename) const</td></tr>
<tr class="separator:a0a880744bc4e3f45711444571df47d67 inherit pub_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1f8ad7b8add515077367fb9949a174d2 inherit pub_methods_classcv_1_1Algorithm"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#a1f8ad7b8add515077367fb9949a174d2">write</a> (<a class="el" href="../../da/d56/classcv_1_1FileStorage.html">FileStorage</a> &amp;fs) const</td></tr>
<tr class="memdesc:a1f8ad7b8add515077367fb9949a174d2 inherit pub_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">Stores algorithm parameters in a file storage.  <a href="../../d3/d46/classcv_1_1Algorithm.html#a1f8ad7b8add515077367fb9949a174d2">More...</a><br /></td></tr>
<tr class="separator:a1f8ad7b8add515077367fb9949a174d2 inherit pub_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a763a62d1b03042eef7d7fc3ac6c87c79 inherit pub_methods_classcv_1_1Algorithm"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#a763a62d1b03042eef7d7fc3ac6c87c79">write</a> (const <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; <a class="el" href="../../da/d56/classcv_1_1FileStorage.html">FileStorage</a> &gt; &amp;fs, const <a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a> &amp;name=<a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a>()) const</td></tr>
<tr class="memdesc:a763a62d1b03042eef7d7fc3ac6c87c79 inherit pub_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.  <a href="../../d3/d46/classcv_1_1Algorithm.html#a763a62d1b03042eef7d7fc3ac6c87c79">More...</a><br /></td></tr>
<tr class="separator:a763a62d1b03042eef7d7fc3ac6c87c79 inherit pub_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:af630800c27534d7d0df7c7a335207c64"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; <a class="el" href="../../d6/d39/classcv_1_1cuda_1_1OpticalFlowDual__TVL1.html">OpticalFlowDual_TVL1</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d39/classcv_1_1cuda_1_1OpticalFlowDual__TVL1.html#af630800c27534d7d0df7c7a335207c64">create</a> (double tau=0.25, double lambda=0.15, double theta=0.3, int nscales=5, int warps=5, double epsilon=0.01, int iterations=300, double scaleStep=0.8, double gamma=0.0, bool useInitialFlow=false)</td></tr>
<tr class="separator:af630800c27534d7d0df7c7a335207c64"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_static_methods_classcv_1_1Algorithm"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classcv_1_1Algorithm')"><img src="../../closed.png" alt="-"/>&#160;Static Public Member Functions inherited from <a class="el" href="../../d3/d46/classcv_1_1Algorithm.html">cv::Algorithm</a></td></tr>
<tr class="memitem:a623841c33b58ea9c4847da04607e067b inherit pub_static_methods_classcv_1_1Algorithm"><td class="memTemplParams" colspan="2">template&lt;typename _Tp &gt; </td></tr>
<tr class="memitem:a623841c33b58ea9c4847da04607e067b inherit pub_static_methods_classcv_1_1Algorithm"><td class="memTemplItemLeft" align="right" valign="top">static <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; _Tp &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#a623841c33b58ea9c4847da04607e067b">load</a> (const <a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a> &amp;filename, const <a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a> &amp;objname=<a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a>())</td></tr>
<tr class="memdesc:a623841c33b58ea9c4847da04607e067b inherit pub_static_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads algorithm from the file.  <a href="../../d3/d46/classcv_1_1Algorithm.html#a623841c33b58ea9c4847da04607e067b">More...</a><br /></td></tr>
<tr class="separator:a623841c33b58ea9c4847da04607e067b inherit pub_static_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3ba305a10d02479c13cf7d169c321547 inherit pub_static_methods_classcv_1_1Algorithm"><td class="memTemplParams" colspan="2">template&lt;typename _Tp &gt; </td></tr>
<tr class="memitem:a3ba305a10d02479c13cf7d169c321547 inherit pub_static_methods_classcv_1_1Algorithm"><td class="memTemplItemLeft" align="right" valign="top">static <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; _Tp &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#a3ba305a10d02479c13cf7d169c321547">loadFromString</a> (const <a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a> &amp;strModel, const <a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a> &amp;objname=<a class="el" href="../../dc/d84/group__core__basic.html#ga1f6634802eeadfd7245bc75cf3e216c2">String</a>())</td></tr>
<tr class="memdesc:a3ba305a10d02479c13cf7d169c321547 inherit pub_static_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads algorithm from a String.  <a href="../../d3/d46/classcv_1_1Algorithm.html#a3ba305a10d02479c13cf7d169c321547">More...</a><br /></td></tr>
<tr class="separator:a3ba305a10d02479c13cf7d169c321547 inherit pub_static_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad8c591bacb34c485f5b7a250c314fc53 inherit pub_static_methods_classcv_1_1Algorithm"><td class="memTemplParams" colspan="2">template&lt;typename _Tp &gt; </td></tr>
<tr class="memitem:ad8c591bacb34c485f5b7a250c314fc53 inherit pub_static_methods_classcv_1_1Algorithm"><td class="memTemplItemLeft" align="right" valign="top">static <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; _Tp &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#ad8c591bacb34c485f5b7a250c314fc53">read</a> (const <a class="el" href="../../de/dd9/classcv_1_1FileNode.html">FileNode</a> &amp;fn)</td></tr>
<tr class="memdesc:ad8c591bacb34c485f5b7a250c314fc53 inherit pub_static_methods_classcv_1_1Algorithm"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads algorithm from the file node.  <a href="../../d3/d46/classcv_1_1Algorithm.html#ad8c591bacb34c485f5b7a250c314fc53">More...</a><br /></td></tr>
<tr class="separator:ad8c591bacb34c485f5b7a250c314fc53 inherit pub_static_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
Additional Inherited Members</h2></td></tr>
<tr class="inherit_header pro_methods_classcv_1_1Algorithm"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classcv_1_1Algorithm')"><img src="../../closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="../../d3/d46/classcv_1_1Algorithm.html">cv::Algorithm</a></td></tr>
<tr class="memitem:a68eeca71617474ad3d4561786f0289d2 inherit pro_methods_classcv_1_1Algorithm"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d46/classcv_1_1Algorithm.html#a68eeca71617474ad3d4561786f0289d2">writeFormat</a> (<a class="el" href="../../da/d56/classcv_1_1FileStorage.html">FileStorage</a> &amp;fs) const</td></tr>
<tr class="separator:a68eeca71617474ad3d4561786f0289d2 inherit pro_methods_classcv_1_1Algorithm"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method. </p>
<dl class="section note"><dt>Note</dt><dd>C. Zach, T. Pock and H. Bischof, "A Duality Based Approach for Realtime TV-L1 Optical Flow". </dd>
<dd>
Javier Sanchez, Enric Meinhardt-Llopis and Gabriele Facciolo. "TV-L1 Optical Flow Estimation". </dd></dl>
</div><h2 class="groupheader">Member Function Documentation</h2>
<a id="af630800c27534d7d0df7c7a335207c64"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af630800c27534d7d0df7c7a335207c64">&#9670;&nbsp;</a></span>create()</h2>

<div class="memitem">
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  <td class="mlabels-left">
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          <td class="memname">static <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt;<a class="el" href="../../d6/d39/classcv_1_1cuda_1_1OpticalFlowDual__TVL1.html">OpticalFlowDual_TVL1</a>&gt; cv::cuda::OpticalFlowDual_TVL1::create </td>
          <td>(</td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>tau</em> = <code>0.25</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>lambda</em> = <code>0.15</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>theta</em> = <code>0.3</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>nscales</em> = <code>5</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>warps</em> = <code>5</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>epsilon</em> = <code>0.01</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>iterations</em> = <code>300</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>scaleStep</em> = <code>0.8</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>gamma</em> = <code>0.0</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>useInitialFlow</em> = <code>false</code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
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<span class="mlabels"><span class="mlabel">static</span></span>  </td>
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</div><div class="memdoc">

</div>
</div>
<a id="a71aa8b4757e6c3041ed6f1993fb11e63"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a71aa8b4757e6c3041ed6f1993fb11e63">&#9670;&nbsp;</a></span>getEpsilon()</h2>

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          <td class="memname">virtual double cv::cuda::OpticalFlowDual_TVL1::getEpsilon </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
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      </table>
  </td>
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<span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
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<p>Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time. A small value will yield more accurate solutions at the expense of a slower convergence. </p>

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</div>
<a id="ad56609052ef83bda9507b01e0bc02e8d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad56609052ef83bda9507b01e0bc02e8d">&#9670;&nbsp;</a></span>getGamma()</h2>

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          <td class="memname">virtual double cv::cuda::OpticalFlowDual_TVL1::getGamma </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
        </tr>
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<span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
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<p>Weight parameter for (u - v)^2, tightness parameter. It serves as a link between the attachment and the regularization terms. In theory, it should have a small value in order to maintain both parts in correspondence. The method is stable for a large range of values of this parameter. </p>

</div>
</div>
<a id="a674707cf0f4974881c5c8f6195926462"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a674707cf0f4974881c5c8f6195926462">&#9670;&nbsp;</a></span>getLambda()</h2>

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          <td class="memname">virtual double cv::cuda::OpticalFlowDual_TVL1::getLambda </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
        </tr>
      </table>
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<span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
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<p>Weight parameter for the data term, attachment parameter. This is the most relevant parameter, which determines the smoothness of the output. The smaller this parameter is, the smoother the solutions we obtain. It depends on the range of motions of the images, so its value should be adapted to each image sequence. </p>

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<a id="aa2b02f73aebe9cb55aa3465be3f2ab31"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa2b02f73aebe9cb55aa3465be3f2ab31">&#9670;&nbsp;</a></span>getNumIterations()</h2>

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          <td class="memname">virtual int cv::cuda::OpticalFlowDual_TVL1::getNumIterations </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
        </tr>
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<p>Stopping criterion iterations number used in the numerical scheme. </p>

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<a id="aed34f4f126cb59a86bcd539528c07a32"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aed34f4f126cb59a86bcd539528c07a32">&#9670;&nbsp;</a></span>getNumScales()</h2>

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          <td class="memname">virtual int cv::cuda::OpticalFlowDual_TVL1::getNumScales </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
        </tr>
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<span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
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<p>Number of scales used to create the pyramid of images. </p>

</div>
</div>
<a id="a852134a0c714e2fc4bd373676179026a"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a852134a0c714e2fc4bd373676179026a">&#9670;&nbsp;</a></span>getNumWarps()</h2>

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          <td class="memname">virtual int cv::cuda::OpticalFlowDual_TVL1::getNumWarps </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
        </tr>
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<span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
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<p>Number of warpings per scale. Represents the number of times that I1(x+u0) and grad( I1(x+u0) ) are computed per scale. This is a parameter that assures the stability of the method. It also affects the running time, so it is a compromise between speed and accuracy. </p>

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<a id="a6499272b6129e386954b422e3c8b1b60"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6499272b6129e386954b422e3c8b1b60">&#9670;&nbsp;</a></span>getScaleStep()</h2>

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          <td class="memname">virtual double cv::cuda::OpticalFlowDual_TVL1::getScaleStep </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a8c0e421bdeb3ac26aa1adcf37684232e">&#9670;&nbsp;</a></span>getTau()</h2>

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<p>Time step of the numerical scheme. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a0f484a1d6a5a75f0a516d142c91f682d">&#9670;&nbsp;</a></span>getTheta()</h2>

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<p>parameter used for motion estimation. It adds a variable allowing for illumination variations Set this parameter to 1. if you have varying illumination. See: Chambolle et al, A First-Order Primal-Dual <a class="el" href="../../d3/d46/classcv_1_1Algorithm.html" title="This is a base class for all more or less complex algorithms in OpenCV. ">Algorithm</a> for Convex Problems with Applications to Imaging Journal of Mathematical imaging and vision, may 2011 Vol 40 issue 1, pp 120-145 </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a1dae4f295c5b83030b541d04e3a02f26">&#9670;&nbsp;</a></span>getUseInitialFlow()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#a970b9e7ca756cc36ac706ebebf5995f0">&#9670;&nbsp;</a></span>setNumWarps()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#ad9a69e01db9833117a50365976b2f803">&#9670;&nbsp;</a></span>setScaleStep()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#ae06f0c80c4250311b730341c5d622f78">&#9670;&nbsp;</a></span>setTau()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#adcad8d9aeda533fcd49bba4fec924327">&#9670;&nbsp;</a></span>setTheta()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#a1a7c86120ebf59622b17bd5e02b358a6">&#9670;&nbsp;</a></span>setUseInitialFlow()</h2>

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<hr/>The documentation for this class was generated from the following file:<ul>
<li>opencv2/<a class="el" href="../../d2/d43/cudaoptflow_8hpp.html">cudaoptflow.hpp</a></li>
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